Zhuo-Cheng Xiao

Zhuo-Cheng Xiao is an Assistant Professor in Mathematics and Neuroscience at NYU Shanghai. Prior to joining NYU Shanghai, he was a Swartz Fellow at New York University from 2020-2021, and a Courant Instructor at the Courant Institute of Mathematical Sciences, New York University, from 2021-2023.

Dr. Xiao’s research focuses broadly on mathematics and neuroscience. His primary research directions include efficient and realistic computational cortical models, and mathematical theory and computational methods for spiking networks.

Select Publications

• Zhang, R; Wang, Z; Wu, T; Cai, Y; Tao, L*; Xiao, Z*; Li Y*. Learning biological neuronal networks with artificial neural networks: neural oscillations. arXiv (2023).

• Wu, T; Cai, Y; Tao, L*; Xiao, Z*. Multiband oscillations emerge from a simple spiking network. Chaos: An Interdisciplinary Journal of Nonlinear Science (2023).

• Xiao, Z; Lin, KK; Young, LS. Efficient models of cortical activity via local dynamic equilibria and coarse-grained interactions. Submitted to PNAS.

• Dong, Y; Li, Y; Xiang, X; Xiao, Z; Hu, J; Li, Y; Li, H; Hu, H. Stress relief as a natural resilience mechanism against depression-like behaviors. Neuron (2023).

• Xiao, Z*; Lin, KK Efficiency of direct and multilevel Monte Carlo for spiking neuron networks. Journal of Computational Neuroscience (2022).

Education 

• PhD, Applied Mathematics
  University of Arizona, 2020

• BS, Biology and Mathematics
  Peking University, 2016